Serverless Data Processing with Dataflow: Develop Pipelines
Earned May 6, 2024 EDT
Prepare Data for ML APIs on Google Cloud
Earned May 2, 2024 EDT
Build a Data Mesh with Dataplex
Earned May 1, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned May 1, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Apr 30, 2024 EDT
Level 2: Data with GCP
Earned Apr 29, 2024 EDT
The Arcade Trivia April 2024 Week 4
Earned Apr 29, 2024 EDT
Level 1 : Getting Started with GCP
Earned Apr 28, 2024 EDT
The Arcade Trivia April 2024 Week 3
Earned Apr 27, 2024 EDT
The Arcade Trivia April 2024 Week 2
Earned Apr 27, 2024 EDT
Level 3: GenAIus Careers
Earned Apr 27, 2024 EDT
The Arcade Certification Zone April 2024
Earned Apr 25, 2024 EDT
The Arcade Skills League
Earned Apr 24, 2024 EDT
The Arcade Trivia April 2024 Week 1
Earned Apr 23, 2024 EDT
Build a Data Warehouse with BigQuery
Earned Apr 15, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Apr 15, 2024 EDT
Building Resilient Streaming Analytics Systems on Google Cloud
Earned Apr 15, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Apr 15, 2024 EDT
Building Batch Data Pipelines on Google Cloud
Earned Apr 15, 2024 EDT
Modernizing Data Lakes and Data Warehouses with Google Cloud
Earned Apr 12, 2024 EDT
Managing Cloud Infrastructure with Terraform
Earned Apr 1, 2024 EDT
Detect Manufacturing Defects using Visual Inspection AI
Earned Mar 26, 2024 EDT
Perform Predictive Data Analysis in BigQuery
Earned Mar 26, 2024 EDT
Build LookML Objects in Looker
Earned Mar 25, 2024 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned Mar 24, 2024 EDT
Intro to ML: Image Processing
Earned Mar 24, 2024 EDT
Analyze Images with the Cloud Vision API
Earned Mar 24, 2024 EDT
Analyze Sentiment with Natural Language API
Earned Mar 24, 2024 EDT
Baseline: Data, ML, AI
Earned Mar 24, 2024 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Mar 24, 2024 EDT
Intro to ML: Language Processing
Earned Mar 24, 2024 EDT
Baseline: Infrastructure
Earned Mar 24, 2024 EDT
Analyze Speech and Language with Google APIs
Earned Mar 24, 2024 EDT
Manage Kubernetes in Google Cloud
Earned Mar 24, 2024 EDT
Applying Machine Learning to your Data with Google Cloud
Earned Mar 23, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned Mar 23, 2024 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Earned Mar 23, 2024 EDT
Monitor and Manage Google Cloud Resources
Earned Mar 23, 2024 EDT
Create and Manage AlloyDB Instances
Earned Mar 23, 2024 EDT
Generative AI Explorer - Vertex AI
Earned Mar 22, 2024 EDT
The Arcade Trivia March 2024 Week 4
Earned Mar 22, 2024 EDT
The Arcade Trivia March 2024 Week 2
Earned Mar 21, 2024 EDT
Level 2: Kubernetes
Earned Mar 20, 2024 EDT
The Arcade Trivia March 2024 Week 3
Earned Mar 20, 2024 EDT
Level 1: Load Balancers
Earned Mar 19, 2024 EDT
Introduction to Generative AI
Earned Mar 17, 2024 EDT
Level 3: GenAIus Heroes
Earned Mar 17, 2024 EDT
The Arcade Certification Zone March 2024
Earned Mar 17, 2024 EDT
The Arcade Trivia March 2024 Week 1
Earned Mar 15, 2024 EDT
Get Started with Google Workspace Tools
Earned Jan 26, 2024 EST
Level 1: Introduction to Google AppSheet
Earned Jan 26, 2024 EST
Cloud Functions: 3 Ways
Earned Jan 26, 2024 EST
Use Functions, Formulas, and Charts in Google Sheets
Earned Jan 25, 2024 EST
The Arcade Trivia January 2024
Earned Jan 24, 2024 EST
Architecting with Google Kubernetes Engine: Foundations
Earned Jan 11, 2024 EST
Security & Identity Fundamentals
Earned Jan 11, 2024 EST
Google Kubernetes Engine Best Practices: Security
Earned Jan 10, 2024 EST
Mitigating Security Vulnerabilities on Google Cloud
Earned Jan 10, 2024 EST
Architecting with Google Kubernetes Engine: Workloads
Earned Jan 7, 2024 EST
Implement CI/CD Pipelines on Google Cloud
Earned Jan 6, 2024 EST
Security Best Practices in Google Cloud
Earned Jan 5, 2024 EST
Managing Security in Google Cloud
Earned Jan 5, 2024 EST
DevOps Essentials
Earned Jan 4, 2024 EST
Build Infrastructure with Terraform on Google Cloud
Earned Jan 4, 2024 EST
Monitor and Log with Google Cloud Observability
Earned Jan 3, 2024 EST
Set Up an App Dev Environment on Google Cloud
Earned Jan 3, 2024 EST
Getting Started with Terraform for Google Cloud
Earned Jan 3, 2024 EST
Logging and Monitoring in Google Cloud
Earned Jan 3, 2024 EST
Reliable Google Cloud Infrastructure: Design and Process
Earned Jan 2, 2024 EST
Cloud Operations and Service Mesh with Anthos
Earned Dec 31, 2023 EST
Developing a Google SRE Culture
Earned Dec 31, 2023 EST
Google Cloud Fundamentals: Core Infrastructure
Earned Dec 30, 2023 EST
Preparing for your Professional Data Engineer Journey
Earned Dec 25, 2023 EST
In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs. We move onto reviewing best practices that help maximize your pipeline performance. Towards the end of the course, we introduce SQL and Dataframes to represent your business logic in Beam and how to iteratively develop pipelines using Beam notebooks.
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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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Complete the introductory Build a Data Mesh with Dataplex skill badge to demonstrate skills in the following: building a data mesh with Dataplex to facilitate data security, governance, and discovery on Google Cloud. You practice and test your skills in tagging assets, assigning IAM roles, and assessing data quality in Dataplex. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
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Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; building machine learning models using BigQuery ML; and using Cloud Composer to copy data across multiple locations. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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With the complexity of roles within the data field, laying a solid foundation is crucial – and we're here to help you do just that, including assisting you in obtaining a Google Cloud Credential. No prior experience? No problem.
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Hey there! You're invited to game on with the Arcade Trivia for April Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 4 badge!
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Businesses are flocking to the cloud, and the demand for skilled professionals is skyrocketing. Join the trend and level up your resume with in-demand skills and earn a Google Cloud Credential to showcase your expertise. No experience necessary – get started today!
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Hey there! You're invited to game on with the Arcade Trivia for April Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 3 badge!
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Hey there! You're invited to game on with the Arcade Trivia for April Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 2 badge!
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Gen AI is spearheading a revolution in careers. Whether you're seasoned or new to the field, Gen AI holds the key to fresh possibilities. Obtaining a Google Cloud credential in this innovative technology can enhance your resume. And the best part? No prior experience is required.
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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone. Be one of the first 20 people to complete the challenge and earn a 100% discount voucher for your next Google Cloud Digital Leader Examination. Welcome!
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The sports season is in full swing—even in The Arcade! Join the Arcade Skills League to learn how to bowl perfect data solutions, hit boundaries with APIs, and score goals with AppScript. Get ready to take on these advanced challenges and earn your Google Cloud Credential!
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Hey there! You're invited to game on with the Arcade Trivia for April Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the April Trivia Week 1 badge!
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Complete the intermediate Build a Data Warehouse with BigQuery skill badge to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network. For practice with BigQuery fundamentals (including working with the console and command line), complete the course titled BigQuery Basics for Data Analysts.
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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
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Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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Data pipelines typically fall under one of the Extract and Load (EL), Extract, Load and Transform (ELT) or Extract, Transform and Load (ETL) paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.
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The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.
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Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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Earn the intermediate skill badge by completing the Perform Predictive Data Analysis in BigQuery course, where you will gain practical experience on the fundamentals
of sports data science using BigQuery, including how to create a soccer dataset in BigQuery by importing CSV and JSON files; harness the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on the soccer event data, and evaluate the impressiveness of World Cup goals. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Complete the introductory Build LookML Objects in Looker skill badge to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This third course covers cloud automation and management tools and building secure networks.
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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you learn how to use the Cloud Vision API to many things, like read text that is part in an image. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you will learn how the API derrives sentiment from text. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and AI Platform. Want extra help? 1-minute videos walk you through key concepts for each lab.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
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It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.
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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this quest is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Stackdriver and Cloud Functions. By taking this quest, you will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.
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Earn a skill badge by completing the Analyze Speech & Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn a skill badge by completing the Manage Kubernetes in Google Cloud quest, where you will learn about Google Kubernetes Engine and multiple deployment approaches including how to: configure and build images to run and debug Docker containers, build Kubernetes Engine clusters, and manage them with kubectl, deploy Kubernetes applications using deployments and continuous delivery techniques. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.
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This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
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This course, Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Infrastructure in Google Cloud. The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google C…
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This challenge lab tests your skills and knowledge from the labs in the Monitor and Manage Google Cloud Resources quest. You should be familiar with the content of labs before attempting this lab.
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Complete the introductory Create and Manage AlloyDB Instances skill badge to demonstrate skills in the following: performing core AlloyDB operations and tasks, migrating to AlloyDB from PostgreSQL, administering an AlloyDB database, and accelerating analytical queries using the AlloyDB Columnar Engine. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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The Generative AI Explorer - Vertex Quest is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploy it to a Vertex AI endpoint.
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Hey there! You're invited to game on with the Arcade Trivia for March Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the March Trivia Week 4 badge!
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Hey there! You're invited to game on with the Arcade Trivia for March Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the March Trivia Week 2 badge!
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Kubernetes is a crucial open-source platform for automating the deployment and management of containerized applications, addressing the increasing demand for efficient resource utilization and scalability in the future of software development. Level up by acquiring this sought-after skill and earning a Google Cloud Credential!
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Hey there! You're invited to game on with the Arcade Trivia for March Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the March Trivia Week 3 badge!
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Navigate the Console, strategize under pressure & conquer the traffic surge! Become a master of load balancers & earn a Google Cloud Credential. No experience? No problem!
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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Employers are actively seeking skilled Gen AI experts! Develop your expertise in the Cloud by gaining hands-on experience with tools and technologies that can be used to full effect by the application of Gen AI. Master core concepts and prepare yourself for the future in this field while earning a Google Cloud Credential! No prior experience needed!
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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone. Be one of the first 20 people to complete the challenge and earn a 100% discount voucher for your next Google Cloud Digital Leader Examination. Welcome!
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Hey there! You're invited to game on with the Arcade Trivia for March Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the March Trivia Week 1 badge!
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Earn an introductory skill badge by completing the Get Started with Google Workspace Tools course, where you will get introduced to Google's collaborative platform and learn to use Gmail, Calendar, Meet, Drive, Sheets, and AppSheet. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Demand for cloud services is expected to be greater than ever in 2024 as different cloud technologies continue to shape various aspects of infrastructure, services, and market dynamics. Game on to get familiar with this tech, and get your hands on a Google Cloud Credential that can help you stand out to potential employers. No prior experience required.
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Earn a skill badge by completing the Cloud Functions: 3 Ways course, where you learn how to use Cloud Functions (including 2nd gen) through the Google Cloud console and on the command line. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn a skill badge by completing the Use Functions, Formulas and Charts in Google Sheets quest, where you analyze data with functions and visualize data using charts. In this intermediate-level quest, you learn to search, validate, format and display data. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Hey there! You're invited to game on with the Arcade Trivia for January 2024! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia badge!
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In this course, "Architecting with Google Kubernetes Engine: Foundations," you get a review of the layout and principles of Google Cloud, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.
This is the first course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine: Workloads course.
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Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this fundamental-level quest, you will get hands-on practice with Google Cloud’s Identity and Access Management (IAM) service, which is the go-to for managing user and virtual machine accounts. You will get experience with network security by provisioning VPCs and VPNs, and learn what tools are available for security threat and data loss protections. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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Get Anthos Ready. This Google Kubernetes Engine-centric quest of best practice hands-on labs focuses on security at scale when deploying and managing production GKE environments -- specifically role-based access control, hardening, VPC networking, and binary authorization.
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In this self-paced training course, participants learn mitigations for attacks at many points in a Google Cloud-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use. They also learn about the Security Command Center, cloud logging and audit logging, and using Forseti to view overall compliance with your organization's security policies.
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In this course, "Architecting with Google Kubernetes Engine: Workloads," you learn about performing Kubernetes operations; creating and managing deployments; the tools of GKE networking; and how to give your Kubernetes workloads persistent storage.
This is the second course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine: Production course.
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Earn the intermediate skill badge by completing the Implement CI/CD Pipelines on Google Cloud course where you will learn how to use Artifact Registry, Cloud Build, and Cloud Deploy. You will interact with the Cloud console, Google Cloud CLI, Cloud Run, and GKE. This course will teach you how to build continuous integration pipelines, store and secure artifacts, scan for vulnerabilities, attest to the validity of approved releases. Additionally, you'll get hands-on experience deploying applications to both GKE and Cloud Run. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an skillbadge hands-on environment. Complete this skill badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Storage access control technologies, Security Keys, Customer-Supplied Encryption Keys, API access controls, scoping, shielded VMs, encryption, and signed URLs. It also covers securing Kubernetes environments.
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This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, Cloud IAM, Virtual Private Cloud firewalls, Cloud Load Balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls. This is the first course of the Security in Google Cloud series. After completing this course, enroll in the Security Best Practices in Google Cloud course.
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Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this quest you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five question multiple-choice quiz and find out! Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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Complete the introductory Monitor and Log with Google Cloud Observability skill badge to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
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This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud.
Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.
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This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.
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Course two of the Architecting Hybrid Cloud with Anthos series prepares students to operate and observe Anthos environments. Through presentations and hands-on labs, participants explore adjusting existing clusters, setting up advanced traffic routing policies, securing communication across workloads, and observing clusters in Anthos. This course is a continuation of course one, Multi-Cluster, Multi-Cloud with Anthos, and assumes direct experience with the topics covered in that course.
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
Serverless Data Processing with Dataflow: Develop Pipelines
Earned May 6, 2024 EDT
Prepare Data for ML APIs on Google Cloud
Earned May 2, 2024 EDT
Build a Data Mesh with Dataplex
Earned May 1, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned May 1, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Apr 30, 2024 EDT
Level 2: Data with GCP
Earned Apr 29, 2024 EDT
The Arcade Trivia April 2024 Week 4
Earned Apr 29, 2024 EDT
Level 1 : Getting Started with GCP
Earned Apr 28, 2024 EDT
The Arcade Trivia April 2024 Week 3
Earned Apr 27, 2024 EDT
The Arcade Trivia April 2024 Week 2
Earned Apr 27, 2024 EDT
Level 3: GenAIus Careers
Earned Apr 27, 2024 EDT
The Arcade Certification Zone April 2024
Earned Apr 25, 2024 EDT
The Arcade Skills League
Earned Apr 24, 2024 EDT
The Arcade Trivia April 2024 Week 1
Earned Apr 23, 2024 EDT
Build a Data Warehouse with BigQuery
Earned Apr 15, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Apr 15, 2024 EDT
Building Resilient Streaming Analytics Systems on Google Cloud
Earned Apr 15, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Apr 15, 2024 EDT
Building Batch Data Pipelines on Google Cloud
Earned Apr 15, 2024 EDT
Modernizing Data Lakes and Data Warehouses with Google Cloud
Earned Apr 12, 2024 EDT
Managing Cloud Infrastructure with Terraform
Earned Apr 1, 2024 EDT
Detect Manufacturing Defects using Visual Inspection AI
Earned Mar 26, 2024 EDT
Perform Predictive Data Analysis in BigQuery
Earned Mar 26, 2024 EDT
Build LookML Objects in Looker
Earned Mar 25, 2024 EDT
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned Mar 24, 2024 EDT
Intro to ML: Image Processing
Earned Mar 24, 2024 EDT
Analyze Images with the Cloud Vision API
Earned Mar 24, 2024 EDT
Analyze Sentiment with Natural Language API
Earned Mar 24, 2024 EDT
Baseline: Data, ML, AI
Earned Mar 24, 2024 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Mar 24, 2024 EDT
Intro to ML: Language Processing
Earned Mar 24, 2024 EDT
Baseline: Infrastructure
Earned Mar 24, 2024 EDT
Analyze Speech and Language with Google APIs
Earned Mar 24, 2024 EDT
Manage Kubernetes in Google Cloud
Earned Mar 24, 2024 EDT
Applying Machine Learning to your Data with Google Cloud
Earned Mar 23, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned Mar 23, 2024 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Earned Mar 23, 2024 EDT
Monitor and Manage Google Cloud Resources
Earned Mar 23, 2024 EDT
Create and Manage AlloyDB Instances
Earned Mar 23, 2024 EDT
Generative AI Explorer - Vertex AI
Earned Mar 22, 2024 EDT
The Arcade Trivia March 2024 Week 4
Earned Mar 22, 2024 EDT
The Arcade Trivia March 2024 Week 2
Earned Mar 21, 2024 EDT
Level 2: Kubernetes
Earned Mar 20, 2024 EDT
The Arcade Trivia March 2024 Week 3
Earned Mar 20, 2024 EDT
Level 1: Load Balancers
Earned Mar 19, 2024 EDT
Introduction to Generative AI
Earned Mar 17, 2024 EDT
Level 3: GenAIus Heroes
Earned Mar 17, 2024 EDT
The Arcade Certification Zone March 2024
Earned Mar 17, 2024 EDT
The Arcade Trivia March 2024 Week 1
Earned Mar 15, 2024 EDT
Get Started with Google Workspace Tools
Earned Jan 26, 2024 EST
Level 1: Introduction to Google AppSheet
Earned Jan 26, 2024 EST
Cloud Functions: 3 Ways
Earned Jan 26, 2024 EST
Use Functions, Formulas, and Charts in Google Sheets
Earned Jan 25, 2024 EST
The Arcade Trivia January 2024
Earned Jan 24, 2024 EST
Architecting with Google Kubernetes Engine: Foundations
Earned Jan 11, 2024 EST
Security & Identity Fundamentals
Earned Jan 11, 2024 EST
Google Kubernetes Engine Best Practices: Security
Earned Jan 10, 2024 EST
Mitigating Security Vulnerabilities on Google Cloud
Earned Jan 10, 2024 EST
Architecting with Google Kubernetes Engine: Workloads
Earned Jan 7, 2024 EST
Implement CI/CD Pipelines on Google Cloud
Earned Jan 6, 2024 EST
Security Best Practices in Google Cloud
Earned Jan 5, 2024 EST
Managing Security in Google Cloud
Earned Jan 5, 2024 EST
DevOps Essentials
Earned Jan 4, 2024 EST
Build Infrastructure with Terraform on Google Cloud
Earned Jan 4, 2024 EST
Monitor and Log with Google Cloud Observability
Earned Jan 3, 2024 EST
Set Up an App Dev Environment on Google Cloud
Earned Jan 3, 2024 EST
Getting Started with Terraform for Google Cloud
Earned Jan 3, 2024 EST
Logging and Monitoring in Google Cloud
Earned Jan 3, 2024 EST
Reliable Google Cloud Infrastructure: Design and Process
Earned Jan 2, 2024 EST
Cloud Operations and Service Mesh with Anthos
Earned Dec 31, 2023 EST
Developing a Google SRE Culture
Earned Dec 31, 2023 EST
Google Cloud Fundamentals: Core Infrastructure
Earned Dec 30, 2023 EST
Preparing for your Professional Data Engineer Journey
Earned Dec 25, 2023 EST